Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Map-Reduce Partition Planner with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic calculator for partitioning and scheduling map-reduce workloads.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Map-Reduce Partition Planner capability set.

These are the exact actions your AI can choose when you ask it to work with Map-Reduce Partition Planner.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Map-Reduce Partition Planner.

  1. 01

    Calculate shuffle volume

  2. 02

    Estimate execution time

  3. 03

    Plan workload partitioning

Observed, not estimated

795ms average. Fast in production.

Map-Reduce Partition Planner is checked daily against the live service.

Daily averagePeak 934ms
Aug 20Today
Fastest day
633ms
Slowest day
934ms
14-day trend
Slowing+28%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Map-Reduce Partition Planner, so you can see the experience inside your AI.

It does not authenticate your account with Map-Reduce Partition Planner. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Map-Reduce Partition Planner Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_x46GYvNVwmQnxgSmGYqCsESM9K8svqI6CYw0KF6I/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Map-Reduce Partition Planner capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "map-reduce-partition-planner-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_x46GYvNVwmQnxgSmGYqCsESM9K8svqI6CYw0KF6I/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Map-Reduce Partition Planner owners ask.

  • 01

    How does this capability handle data skew?

    The plan_workload_partitioning capability calculates a skew ratio. If the ratio exceeds 3, it flags the reducer as 'hot', indicating that you should consider salting keys to balance the load.

  • 02

    Can I estimate network costs?

    Yes, by using calculate_shuffle_volume, you can determine the total bytes and megabytes that will be transferred during the shuffle phase.

  • 03

    What is the purpose of the execution time estimation?

    The estimate_execution_time capability projects the total duration of the pipeline by summing the map phase and reduce phase durations based on your specific workloads.

Explore

More in Data Engineering

Suggestions